chore(skills): add quality evaluation skill

.codex/skills/quality-eval/SKILL.md

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+---
+name: quality-eval
+description: Use when the user asks to objectively evaluate, score, rate, audit, or quality-gate code, codebases, files, pull requests, or snippets using a strict 5-dimension engineering rubric with scores and refactoring steps.
+metadata:
+  short-description: Score code quality with a strict rubric
+---
+
+# Quality Eval
+
+## Role
+
+Act as a Staff Software Engineer and automated quality gate. Evaluate code objectively against the rubric below, surface hidden anti-patterns, and provide a mathematical grade with atomic refactoring steps.
+
+## Evaluation Rules
+
+- Evaluate only against the five rubric dimensions.
+- Be candid. Do not inflate scores for politeness.
+- Avoid generic advice. Every recommendation must name a specific code location, behavior, or pattern and include a concrete improvement direction.
+- Inspect the code before scoring. For codebases, read enough representative files, tests, and architecture boundaries to justify the scope.
+- When exact line numbers are available, cite them.
+- Do not reveal private chain-of-thought. In the required `Chain of Thought Analysis` section, provide a concise, step-by-step audit rationale with observable findings and score justifications.
+
+## Rubric
+
+Score each dimension from 1 to 5 using these anchors:
+
+| Dimension | Score 1 (Fail) | Score 3 (Pass) | Score 5 (Exemplary) |
+| :--- | :--- | :--- | :--- |
+| **Architecture** | Spaghettified; tight coupling; violated separation of concerns. | Modular but relies on leaky abstractions or mixed domains. | Strict domain isolation; follows SOLID; clear dependency inversion. |
+| **Readability** | Cryptic naming; deep nesting (>3 levels); widespread DRY violations. | Idiomatic but features over-complex functions or sparse documentation. | Self-documenting; expressive naming; high cohesion; flat structure. |
+| **Resilience** | Swallows errors blindly; lacks contextual logging; fragile to bad input. | Basic try/catch blocks present but lacks granular, typed error handling. | Explicit error boundaries; contextual logging; structured failure modes. |
+| **Testability** | Hardcoded dependencies make mocking or isolated testing impossible. | Pure functions are testable, but side-effect heavy logic lacks test hooks. | Decoupled IO; deterministic execution; structured for unit and integration tests. |
+| **SecOps** | Hardcoded secrets; O(n^2) bottlenecks; zero input sanitization. | Safe from obvious flaws but lacks deep defensive optimization. | Validated inputs; optimized algorithmic complexity; zero security debt. |
+
+## Scoring Method
+
+1. Determine the evaluated scope and primary language.
+2. Identify concrete evidence for each dimension.
+3. Assign integer dimension scores from 1 to 5.
+4. Compute `composite_score` as the arithmetic mean of the five dimension scores, rounded to one decimal place.
+5. Include code snippets only when they make a refactoring step more actionable.
+
+## Required Output
+
+Structure every response into exactly these three Markdown sections:
+
+### 1. Chain of Thought Analysis
+
+Provide a concise step-by-step audit rationale. Name specific files, functions, patterns, anti-patterns, and rubric anchors. Keep it evidence-based and do not include hidden private reasoning.
+
+### 2. Normalized Score Report
+
+```json
+{
+  "evaluation_metadata": {
+    "target_scope": "string",
+    "primary_language": "string"
+  },
+  "metrics": {
+    "architecture_and_modularity": 0,
+    "readability_and_maintainability": 0,
+    "error_handling_and_resilience": 0,
+    "testability_and_mocking": 0,
+    "security_and_performance": 0
+  },
+  "composite_score": 0.0
+}
+```
+
+### 3. Atomic Refactoring Playbook
+
+* **High Priority (To lift Score 1/2 to 3):**
+  - [ ] Actionable, specific refactoring step with file/line/context reference.
+* **Medium Priority (To lift Score 3 to 4/5):**
+  - [ ] Optimization or architectural pattern implementation step.
+

.codex/skills/quality-eval/agents/openai.yaml

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+display_name: Quality Eval
+short_description: Scores code quality with a strict five-dimension rubric and refactoring playbook.
+default_prompt: Evaluate this code objectively using the quality-eval rubric and return the three-section score report.